See how to build an agentic AI workflow: a ChatGPT plugin that searches PowerPoint presentations by topic using Oracle Database and AI Vector Search.
How to setup a RAG pipeline in Oracle SQLcl, from ingesting your local documents to your vector database tables to pulling the data back out using our MCP tools.
Our SQLcl MCP server has a new tool called context_retrieve that lets an agent such as Claude, Copilot, or Codex ask your database for relevant background text before it answers. The agent sends a short keyword query. SQLcl embeds it with the model you configured, runs a vector search against Oracle AI Database vector tables, and returns the best-matching passages as plain text. The feature is built on top of Oracle AI Database 26ai Vector…
Using our Annotation MCP Tool in Oracle SQLcl 26.3 to annotate a table in my database with my AI Agent – 26AI not required!
Did you know you can simply ask your agent to manage your Oracle AI Skills via our MCP tool?
Getting SQLcl MCP going with Codex to connect to your 26ai schema on Oracle’s FreeSQL.com platform.
Also, a reminder to join us with our OpenAI Codex hackathon at Oracle AI World next month!
Configuring ORDS MCP with a local Keycloak identity management server, and establishing end users that inherit read only or jr dba database privs.
I introduce the Model Context Protocol (MCP), explain why it matters for Oracle AI Database, and walk through practical ways to use AI safely and effectively with your database.
You can take advantage of your existing SQL based business reports to make your Agents ‘smarter’ and deliver more predictable answers, and for fewer tokens! Here’s one way to automate loading up those reports to your OCI tenancy.
Oracle SQL Developer for VS Code added a ton of features in our 26.2 update, especially around managing your database connections. Here’s an overview.